Q. What are the security considerations for DApps?
Audit smart contracts for vulnerabilities, avoid reentrancy attacks, and use tools like MythX or OpenZeppelin for secure development.
Q. How do you deploy a DApp?
You deploy the smart contract using tools like Truffle or Hardhat, connect it to MetaMask, and host the React frontend on services like Netlify or IPFS.
Q. How does Web3.js interact with smart contracts?
Web3.js provides JavaScript APIs to connect React frontends with the Ethereum blockchain, enabling functions like reading and writing contract data.
Q. What is the role of Solidity in DApps?
Solidity is used to write smart contracts — the backend logic of DApps that run on Ethereum Virtual Machine (EVM).
Q1. What is a DApp?
A DApp (Decentralized Application) runs on blockchain technology instead of centralized servers, offering transparency and immutability.
Q. How can one start a career in MLOps?
Begin by learning ML fundamentals, mastering DevOps concepts, then build small end-to-end ML projects with automation and monitoring capabilities.
Q. Which tools are commonly used in MLOps pipelines?
Tools include Airflow, Kubeflow, DVC, MLflow, TensorFlow Extended (TFX), and AWS SageMaker.
Q. How does MLOps differ from traditional DevOps?
While DevOps focuses on software deployment automation, MLOps adds data versioning, model lifecycle management, and experiment tracking.
Q. What skills are essential for MLOps?
Key skills include Python, Docker, Kubernetes, CI/CD (Jenkins/GitHub Actions), cloud platforms (AWS/GCP/Azure), and monitoring tools like Prometheus or MLflow.
Q. What is the role of an MLOps engineer?
An MLOps engineer bridges the gap between data science and operations — automating model deployment, monitoring, and CI/CD pipelines for ML systems.